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Proceedings Paper

A comparison of wavelet analysis techniques in digital holograms
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Paper Abstract

This study explores the effectiveness of wavelet analysis techniques on digital holograms of real-world 3D objects. Stationary and discrete wavelet transform techniques have been applied for noise reduction and compared. Noise is a common problem in image analysis and successful reduction of noise without degradation of content is difficult to achieve. These wavelet transform denoising techniques are contrasted with traditional noise reduction techniques; mean filtering, median filtering, Fourier filtering. The different approaches are compared in terms of speckle reduction, edge preservation and resolution preservation.

Paper Details

Date Published: 25 April 2008
PDF: 8 pages
Proc. SPIE 6994, Photon Management III, 699412 (25 April 2008); doi: 10.1117/12.782786
Show Author Affiliations
Karen M. Molony, National Univ. of Ireland, Maynooth (Ireland)
Jonathan Maycock, National Univ. of Ireland, Maynooth (Ireland)
Bielefeld Univ. (Germany)
John B. McDonald, National Univ. of Ireland, Maynooth (Ireland)
Bryan M. Hennelly, National Univ. of Ireland, Maynooth (Ireland)
Thomas J. Naughton, National Univ. of Ireland, Maynooth (Ireland)
Univ. of Oulu (Finland)

Published in SPIE Proceedings Vol. 6994:
Photon Management III
John T. Sheridan; Frank Wyrowski, Editor(s)

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